Nano Delivery Systems for In Vivo CRISPR/Cas-Based Gene Therapy: From Vectors to Clinical Outcomes

Abstract As a powerful gene-editing tool, the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) system features simple construction, precise targeting, and higher editing efficiency, bringing prospects of radical cures for numerous critical illnesses at the genomic level. To date, ex vivo CRISPR/Cas-based gene therapies represented by Casgevy have achieved significant clinical advances. Nevertheless, cumbersome operational workflows and prohibitive treatment costs severely hinder their widespread clinical accessibility. In contrast, in vivo CRISPR/Cas-based gene therapies stand out with convenient administration procedures and reduced overall costs, endowing them with enormous translational potential. Although it holds great promise, the clinical translation of in vivo CRISPR/Cas-based gene therapies remains hampered by a number of factors. Among those multiple obstacles restricting the clinical translation of in vivo CRISPR/Cas-based gene therapies, delivery systems constitute the core bottleneck dominating in vivo editing efficiency and therapeutic potency. Centered on delivery platforms for in vivo CRISPR/Cas-based gene therapies, this review systematically summarizes prevailing in vivo CRISPR/Cas nano delivery systems, recapitulates relevant preclinical and clinical outcomes, discusses translational hurdles, and prospects the evolution of next-generation delivery systems, aiming to facilitate further development of in vivo CRISPR/Cas-based gene therapies.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2026-10-06
DOI
https://doi.org/10.1021/acsnano.6c12154
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nano Delivery Systems for In Vivo CRISPR/Cas-Based Gene Therapy: From Vectors to Clinical Outcomes

Ruhan Chen, Changyang Gong, Qinjie Wu, Haimei Zhou
ACS Nano
CRISPR and Genetic Engineering
article

Nano Delivery Systems for In Vivo CRISPR/Cas-Based Gene Therapy: From Vectors to Clinical Outcomes

Ruhan Chen, Changyang Gong, Qinjie Wu, Haimei Zhou
article en

Abstract

Abstract As a powerful gene-editing tool, the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) system features simple construction, precise targeting, and higher editing efficiency, bringing prospects of radical cures for numerous critical illnesses at the genomic level. To date, ex vivo CRISPR/Cas-based gene therapies represented by Casgevy have achieved significant clinical advances. Nevertheless, cumbersome operational workflows and prohibitive treatment costs severely hinder their widespread clinical accessibility. In contrast, in vivo CRISPR/Cas-based gene therapies stand out with convenient administration procedures and reduced overall costs, endowing them with enormous translational potential. Although it holds great promise, the clinical translation of in vivo CRISPR/Cas-based gene therapies remains hampered by a number of factors. Among those multiple obstacles restricting the clinical translation of in vivo CRISPR/Cas-based gene therapies, delivery systems constitute the core bottleneck dominating in vivo editing efficiency and therapeutic potency. Centered on delivery platforms for in vivo CRISPR/Cas-based gene therapies, this review systematically summarizes prevailing in vivo CRISPR/Cas nano delivery systems, recapitulates relevant preclinical and clinical outcomes, discusses translational hurdles, and prospects the evolution of next-generation delivery systems, aiming to facilitate further development of in vivo CRISPR/Cas-based gene therapies.

ACS Nano
Sichuan University (CN)
Openalex Percentile: Top 21%
CRISPR and Genetic Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.